Data Analytics & Infrastructure Courses & Certificates | UCLA Extension

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Get a career that's in-demand

We offer a wide range of courses designed to help you build career‑ready skills in areas such as data development and management, machine learning and natural language processing, exploratory data analysis, statistical modeling, data visualization, inference, and more. You can also pursue a specialization in Python for data engineers or a certificate in Data Science with a Concentration in Cybersecurity.

Additional advanced courses include:

Context Engineering and AI Orchestration
Large Language Models

These offerings provide hands‑on experience with modern tools, frameworks, and real‑world workflows to help you strengthen your technical foundation and prepare for emerging roles in the field.

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Virtual Information Session

Learn how our programs in data science and data analytics can help you achieve your career goals during this informative online session led by experienced instructors and program advisors.

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Data Analytics & Infrastructure

Courses

Data Science Fundamentals

Designed for students with limited programming, statistics, or data analytics knowledge, this data science overview course is ideal for beginners, business analysts, or non-tech managers interested in the field.

Introduction to Data Engineering

This course covers data engineering fundamentals, including data collection, storage, processing, and analysis. It explores the entire data pipeline and the technologies used, preparing students to apply these skills to real-world use cases in analytics and machine learning.

Introduction to Data Science

This course covers the key knowledge domains in data science, including data development and management, machine learning and natural language processing, statistical analysis, data visualization, and inference.

Large Language Models

Predictive Analytics

This hands-on course helps you use predictive analytics for improving business performance using techniques such as data mining, statistics, modeling, machine learning, and artificial intelligence.

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